Director, Global Data Engineering

About Circle KCircle K is a global leader in convenience retail and fuel operating in 24 countries and serving millions of customers every day. We are advancing our digital and data transformation through modern cloud platforms trusted data products artificial intelligence and analytics that enable faster decisions and create value across the enterprise.The OpportunityCircle K is seeking a transformational people-focused and execution-oriented Director Global Data Engineering. Reporting to the Head of Global Data Engineering Architecture & Enablement this leader will own the enterprise Data Engineering function and lead globally distributed teams responsible for delivering trusted scalable secure and reusable data products.This role combines organizational leadership engineering excellence modernization delivery execution and talent development. The Director will translate enterprise strategy into measurable outcomes while partnering across Data Architecture Platform Engineering Analytics Engineering Governance Data & Analytics teams Security and business teams.What Youll LeadSet the vision operating model priorities and standards for the global Data Engineering organization leading through Senior Managers Managers and Engineering Leads.Build a high-performing product-oriented engineering culture grounded in accountability ownership quality innovation and continuous improvement.Deliver reusable enterprise data products spanning source integration batch and streaming ingestion transformation harmonization data quality dimensional modeling analytical data marts metadata lineage and documentation.Ensure engineering solutions support reporting self-service analytics machine learning generative AI agents automation and secure enterprise data sharing.Establish engineering practices for DataOps DevOps CICD automated testing infrastructure as code observability incident management performance optimization service levels and operational support.Drive measurable improvements in delivery speed predictability quality scalability cost efficiency and platform reliability.Partner with architecture platform analytics governance cybersecurity product and business leaders on solution design technology decisions investment priorities and enterprise modernization.Recruit coach develop and retain strong engineering talent establish career paths succession plans and capabilities needed for future growth.Lead globally distributed teams through organizational and technology transformation while fostering inclusive effective collaboration across a matrixed enterprise.Manage budgets capacity workforce plans vendors and strategic partners to align resources and investments with enterprise priorities and business value.Collaborate with Data Governance to embed ownership certification quality controls metadata lineage privacy and security into engineering practices so trusted data is understandable discoverable and usable.Simplify and modernize the enterprise data estate by retiring legacy patterns improving interoperability across cloud platforms and consumption channels and reducing unnecessary duplication and technical debt.AI & Intelligent Data ProductsThe Director will help integrate AI into both how data products are built and how the organization uses data. This includes applying AI-assisted development testing documentation data quality observability and automation across the engineering lifecycle while maintaining appropriate engineering controls and human accountability.This leader will also ensure that generative AI agents natural-language analytics machine learning and intelligent applications are grounded in certified secure well-described and context-rich data. Working with key partners the Director will establish scalable patterns for AI-ready data products and evaluate emerging capabilities based on measurable improvements in productivity quality adoption and business outcomes.What You BringBachelors degree in Computer Science Information Systems Engineering Mathematics or a related field a masters degree is preferred.12 years of progressive experience in data engineering data platforms analytics engineering or a related technology field.5 years leading managers and large globally distributed engineering organizations.Demonstrated success building high-performing teams and delivering large-scale cloud data modernization or enterprise transformation programs.Strong experience with product-oriented delivery models DataOps DevOps engineering governance and reliable production support.Ability to connect business strategy architecture technology talent and execution and communicate effectively with executives engineers and business partners.Technical BreadthYou bring strong knowledge of modern cloud data ecosystems including Azure Snowflake Databricks lakehouse and data warehouse architectures ETLELT APIs batch and streaming integration dimensional and semantic modeling metadata lineage data quality and secure data sharing. You also understand the data-engineering capabilities that enable generative AI agents natural-language analytics and machine learning while enabling observability responsible AI controls and protection of sensitive data. You do not need to be the hands-on expert in every platform or AI technology but you must be able to guide technical direction distinguish durable architecture from experimentation ask the right questions and hold teams accountable for sound secure and scalable engineering decisions.Leadership ProfileYou are a strategic thinker and pragmatic operator who can lead change at enterprise scale. You develop strong leaders influence across organizational boundaries simplify complexity and create clarity around priorities and accountability. You balance innovation with operational discipline and consistently connect engineering investments to customer and business outcomes.Why This Role MattersThis is an opportunity to shape how Circle K builds governs and uses data worldwide. The Director will strengthen the engineering organization accelerate delivery of trusted data products and create the scalable foundation needed for data analytics and AI to deliver meaningful business value. Circle K is an Equal Opportunity Employer.The Company complies with the Americans with Disabilities Act the ADA and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Companys Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.Click below to review information about our companys use of the federal E-Verify program to check work eligibilityIn EnglishIn Spanish